Senior Graphics Machine Learning Engineer
Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 20, 2026. AMD scores B on the Alion truth index.
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THE ROLE:
A seasoned Machine Learning Engineer to develop and optimize machine learning models for graphics, rendering, and visual computing applications. The ideal candidate will have deep expertise in machine learning and neural network architectures, combined with a solid understanding of real-time graphics technologies and GPU-accelerated workloads. This role involves close collaboration with research and engineering teams to deliver innovative ML solutions that enhance visual quality, rendering efficiency, and user experiences.
THE PERSON:
The ideal candidate should be passionate about machine learning and its application to graphics and visual computing. They should possess strong problem-solving skills, be able to drive complex technical issues to resolution, and communicate effectively while collaborating across multidisciplinary teams. The Applied Research and Engineering team is looking for the following:
KEY RESPONSIBILITIES:
- Proficiency in machine learning and neural network architectures.
- Experience developing, training, and optimizing machine learning models using modern ML frameworks.
- Strong programming skills in Python and C++.
- Understanding of machine learning techniques and their application to graphics, rendering, and visual computing problems.
- Solid understanding of real-time graphics fundamentals, including 3D rendering pipelines, GPU architectures, and ray tracing concepts.
- Experience optimizing machine learning workloads for GPU platforms.
- General software development workflow knowledge, including Git, CMake, CI/CD, testing, and debugging.
- Ability to collaborate effectively with researchers, graphics engineers, and software developers.
- Proficient in English.
PREFERRED EXPERIENCE:
- Strong object-oriented programming background.
- Experience applying machine learning techniques to image enhancement, denoising, super-resolution, frame interpolation, or related visual computing challenges.
- Understanding of vision transformers and diffusion models.
- Familiarity with graphics and compute APIs such as Direct3D, Vulkan, CUDA, or OpenCL.
- Understanding of model optimization techniques, including distillation, quantization, pruning, or compression.
- Experience with GPU performance optimization.
- Experience with software development processes and tools such as debuggers, source code control systems (Git), profilers, and continuous integration systems.
- Ability to write high-quality, maintainable code with strong attention to detail.
- Effective communication and problem-solving skills.
- Strong interpersonal and collaboration skills.
- Experience coding with AI-assisted development tools and agents.
ACADEMIC CREDENTIALS:
- Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, or equivalent.
- Relevant industry experience in machine learning, computer vision, graphics, or visual computing will also be considered.
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
THE ROLE:
A seasoned Machine Learning Engineer to develop and optimize machine learning models for graphics, rendering, and visual computing applications. The ideal candidate will have deep expertise in machine learning and neural network architectures, combined with a solid understanding of real-time graphics technologies and GPU-accelerated workloads. This role involves close collaboration with research and engineering teams to deliver innovative ML solutions that enhance visual quality, rendering efficiency, and user experiences.
THE PERSON:
The ideal candidate should be passionate about machine learning and its application to graphics and visual computing. They should possess strong problem-solving skills, be able to drive complex technical issues to resolution, and communicate effectively while collaborating across multidisciplinary teams. The Applied Research and Engineering team is looking for the following:
KEY RESPONSIBILITIES:
- Proficiency in machine learning and neural network architectures.
- Experience developing, training, and optimizing machine learning models using modern ML frameworks.
- Strong programming skills in Python and C++.
- Understanding of machine learning techniques and their application to graphics, rendering, and visual computing problems.
- Solid understanding of real-time graphics fundamentals, including 3D rendering pipelines, GPU architectures, and ray tracing concepts.
- Experience optimizing machine learning workloads for GPU platforms.
- General software development workflow knowledge, including Git, CMake, CI/CD, testing, and debugging.
- Ability to collaborate effectively with researchers, graphics engineers, and software developers.
- Proficient in English.
PREFERRED EXPERIENCE:
- Strong object-oriented programming background.
- Experience applying machine learning techniques to image enhancement, denoising, super-resolution, frame interpolation, or related visual computing challenges.
- Understanding of vision transformers and diffusion models.
- Familiarity with graphics and compute APIs such as Direct3D, Vulkan, CUDA, or OpenCL.
- Understanding of model optimization techniques, including distillation, quantization, pruning, or compression.
- Experience with GPU performance optimization.
- Experience with software development processes and tools such as debuggers, source code control systems (Git), profilers, and continuous integration systems.
- Ability to write high-quality, maintainable code with strong attention to detail.
- Effective communication and problem-solving skills.
- Strong interpersonal and collaboration skills.
- Experience coding with AI-assisted development tools and agents.
ACADEMIC CREDENTIALS:
- Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, or equivalent.
- Relevant industry experience in machine learning, computer vision, graphics, or visual computing will also be considered.
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.